Orthopedics

Diagnosis of Leukemia from Bone Marrow Flow Cytometry Data Using Deep Learning and Explainable Artificial Intelligence.

Leukemia is a life-threatening blood cancer requiring rapid and accurate diagnosis to improve patient survival. Although flow cytometry offers powerful multiparametric analysis, manual interpretation remains slow, subjective, and, thus, prone to error. This study presents an automated diagnostic system using deep learning to analyze bone marrow flow cytometry samples from this technology. Three ad...

Artificial Intelligence-assisted Periapical Radiographic Assessment: Lesion Detection, Endodontic Complication Analysis, and Review of Clinical Treatment Recommendations.

INTRODUCTION: Artificial intelligence (AI) systems are increasingly used in dental radiology to support endodontic diagnosis. However, their diagnostic reliability across different clinical categories remains unclear. This study compared 3 vision-language AI models (ChatGPT-5 Plus, Gemini 2.5 Pro, and Copilot Pro) with expert endodontists by assessing sensitivity, specificity, overall diagnostic a...

Electrophysiologically informed spiking neural networks for fish-inspired navigation with boundary vector cells and hydrostatic pressure cues.

Spatial memory is a fundamental cognitive capacity governing the mental encoding of spatial information, which can be used to navigate through intrica...

Accuracy in spinal level determination, including transitional vertebrae: an ASReview supported systematic review.

Lumbar Spine Disorder Detection using Segmentation and IBN-MGNet Classification with Enhanced Feature Extraction.

Back pain affects millions worldwide, with lumbar spine disorders (LSDs) being a major contributing factor due to the spine's critical role in support...

The effect of an artificial intelligence-assisted motivational procedure on kinesiophobia and mobility after total knee arthroplasty: a randomized controlled trial.

Development and Validation of a Machine Learning Model for Predicting Postoperative Delirium in Elderly Patients with Hip Fracture: A Retrospective Cohort Study.

Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, including those undergoing surgery for femoral nec...

Development of Novel and Interpretable Automated Models for Predicting Total Knee Replacement in Knee Osteoarthritis: An International Multicenter Study.

RATIONALE AND OBJECTIVES: Subtle changes in the infrapatellar fat pad (IPFP) enable prediction and quantification of knee osteoarthritis (KOA). This s...

Patient specific optimization and planning of vertebral augmentation in osteoporosis: Finite element and Artificial Intelligence approaches.

BACKGROUND: Osteoporotic Vertebral Compression Fractures (OVCFs) are responsible for significant disability, especially among individuals with low Bon...

Towards automated joint detection in sleep studies: bridging clinical insight and artificial intelligence.

STUDY OBJECTIVES: To develop and evaluate artificial intelligence methods for detecting upper-body joint positions from video recordings of individual...

Interpretable machine learning-augmented quantitative targeted flavoromics for quality grade prediction of Jiangxiangxing baijiu.

The quality of Jiangxiangxing (JXX) baijiu depends on its sensory and flavor characteristics, which traditional methods struggle to evaluate accuratel...

Accuracy assessment of an artificial intelligence model in predicting intraoperative bone resection parameters for robotic-assisted total knee arthroplasty.

Advances in Oral Cavity Stem Cell Research Revealed through Multi-omics Analysis.

Oral stem cell research encompasses the study of dental pulp stem cells, periodontal ligament stem cells, regeneration of dental pulp and periodontal ...

Deep learning-based segmentation of enamel, cementum, alveolar bone, and gingiva in periodontal ultrasound images.

OBJECTIVES: To develop a deep learning-based multi-class segmentation model for the simultaneous segmentation of key periodontal structures, including...

Deep-learning framework for osteoporosis screening on low-dose X-rays: Addressing image quality variability and cross-ethnic database Heterogeneity.

The AIXA Osteo model architecture (X1AI-Osteo) has undergone internal validation in Taiwan, demonstrating its capability to evaluate osteoporosis and ...

Single-cell sequencing and machine learning-based prediction of spliceosome-associated factor 2 may represent potential targets for osteoarthritis.

BACKGROUND: Osteoarthritis has become a global health challenge due to its complex pathologic mechanisms. Spliceosome-associated factor 2 (SYF2) has b...

Development of machine learning models for preoperative prediction of insufficient clinical improvement after anterior cruciate ligament reconstruction.

[Advances in oral and craniofacial bone regeneration modulated by stem cells and biomaterials].

Cranio-maxillofacial bone defects resulting from trauma, tumors, infection, or congenital malformations not only severely impair patients' physiologic...

Emerging engineering strategies in bone organoids: From biomimetic scaffolds to dynamic microenvironmental stimulation.

Bone organoids have emerged as transformative models for studying bone development and disease by recapitulating complex cellular ecosystems in vitro....

Automated vertebral heart size estimation from thoracic radiographs in dogs with AI-assisted clinical decision support.

Cardiomegaly is a clinically significant indicator of cardiac disease in canine companion animals, where early and accurate detection is essential for...